ITK_Registration.pdf
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This work by John Galeotti and Damion Shelton, © 2004-2020, was made possible in part by NIH NLM contract#
HHSN276201000580P, and is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this
license, visit http://creativecommons.org/licenses/by/3.0/ or send a letter to Creative Commons, 171 2nd Street, Suite 300, San
Francisco, California, 94105, USA. Permissions beyond the scope of this license may be available by emailing itk@galeotti.net.
The most recent version of these slides may be accessed online via http://itk.galeotti.net/
Methods in Medical Image Analysis - Spring 2020
16-725 (CMU RI) : BioE 2630 (Pitt)
Dr. John Galeotti
Based in part on Damion Shelton’s slides from 2006
Lecture 8
Registration with ITK
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For more info/gory detail…
§ Please see the following for exhaustive detail:
§ Chapter 3 in the ITK Software Guide Book 2
§ Insight into Images
§ ITK Source Tree
§ Examples/RegistrationITKv4/
§ E.g. Examples/RegistrationITKv4/ImageRegistration1.cxx
§ ITK Doxygen
§ http://www.itk.org/Doxygen50/html/group__RegistrationFilters.html
§ http://www.itk.org/Doxygen50/html/group__Group-Registration.html
§ http://www.itk.org/Doxygen50/html/group__Group-Numerics.html
§ SimpleITK:
§ http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/
§ See all the Python Registration (6x) notebooks, especially:
§ http://insightsoftwareconsortium.github.io/SimpleITK-
Notebooks/Python_html/60_Registration_Introduction.html
§ https://itk.org/SimpleITKDoxygen/html/classitk_1_1simple_1_1ImageRegistrati
onMethod.html
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huaxia0482020-10-22说的特别笼统，没什么有用的信息
